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<div style="font-size:0.8em; color:#666; margin-top:2px;">Workflows</div> | |||
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<div style="font-size:0.8em; color:#666; margin-top:2px;">Principles</div> | |||
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<div style="font-size:0.8em; color:#666; margin-top:2px;">Implementations</div> | |||
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<div style="font-size:0.8em; color:#666; margin-top:2px;">Heuristics</div> | |||
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== Welcome to {{SITENAME}} == | == Welcome to {{SITENAME}} == | ||
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Browse implementation patterns, configuration guides, debugging heuristics, and battle-tested defaults for frameworks like vLLM, DeepSpeed, Megatron-LM, FlashAttention, Triton, Unsloth, LangChain, and many more. Every page is structured so both humans and AI agents can find what they need fast. | Browse implementation patterns, configuration guides, debugging heuristics, and battle-tested defaults for frameworks like vLLM, DeepSpeed, Megatron-LM, FlashAttention, Triton, Unsloth, LangChain, and many more. Every page is structured so both humans and AI agents can find what they need fast. | ||
'''Connect your AI coding agent.''' Plug Leeroopedia into your favorite coding agent | '''Connect your AI coding agent.''' Plug Leeroopedia into your favorite coding agent, and let it build robust AI/ML systems autonomously: | ||
''' | * [https://github.com/Leeroo-AI/superml '''SuperML plugin'''] — converts your AI coding agent into an expert ML engineer with agentic memory | ||
* [https://github.com/Leeroo-AI/leeroopedia-mcp '''Leeroopedia MCP'''] — search over best-practices and skills of ML/AI | |||
* [https://github.com/leeroo-ai/kapso '''Kapso'''] — experimentation platform for autonomous AI/ML software building | |||
== Browse by Category == | == Browse by Category == | ||
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|} | |} | ||
== | == Explore Pages == | ||
=== Workflows === | === Workflows === | ||
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=== Principles === | === Principles === | ||
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=== Implementations === | === Implementations === | ||
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=== Heuristics === | === Heuristics === | ||
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=== Environments === | === Environments === | ||
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Latest revision as of 11:45, 14 March 2026
27,667
Total Pages
1,118
Workflows
7,697
Principles
16,832
Implementations
1,245
Heuristics
909
Environments
Welcome to Leeroopedia
Your ML & Data Knowledge Wiki. Best practices and expert-level knowledge for Machine Learning and Data Engineering, covering 1000+ frameworks and libraries from training to deployment.
Browse implementation patterns, configuration guides, debugging heuristics, and battle-tested defaults for frameworks like vLLM, DeepSpeed, Megatron-LM, FlashAttention, Triton, Unsloth, LangChain, and many more. Every page is structured so both humans and AI agents can find what they need fast.
Connect your AI coding agent. Plug Leeroopedia into your favorite coding agent, and let it build robust AI/ML systems autonomously:
- SuperML plugin — converts your AI coding agent into an expert ML engineer with agentic memory
- Leeroopedia MCP — search over best-practices and skills of ML/AI
- Kapso — experimentation platform for autonomous AI/ML software building
Browse by Category
| Category | Description | Browse |
|---|---|---|
| Workflows | Step-by-step processes and procedures | Browse All |
| Principles | Core ideas and foundational knowledge | Browse All |
| Implementations | Code-level details and modules | Browse All |
| Heuristics | Best practices and guidelines | Browse All |
| Environments | Setup and configuration guides | Browse All |
Explore Pages
Workflows
- Workflow:FlagOpen FlagEmbedding Benchmark Evaluation
- Workflow:Huggingface Peft LoRA Causal LM Finetuning
- Workflow:PacktPublishing LLM Engineers Handbook Dataset Generation
- Workflow:Obss Sahi Sliced Inference Pipeline
- Workflow:Sail sg LongSpec Long Context Evaluation
- Workflow:Openai Evals Creating a model graded eval
- Workflow:Haosulab ManiSkill Imitation Learning Pipeline
- Workflow:Googleapis Python genai Context Caching
- Workflow:Apache Kafka PR Merge And Backport
- Workflow:ChenghaoMou Text dedup Bloom Filter Deduplication
Principles
- Principle:OpenBMB UltraFeedback Instruction Sampling
- Principle:Langchain ai Langgraph Release Automation
- Principle:EvolvingLMMs Lab Lmms eval Parallel Inference
- Principle:Pyro ppl Pyro Data Provenance
- Principle:NVIDIA NeMo Aligner Checkpoint Management
- Principle:Microsoft Playwright Extract Data with Agent
- Principle:Nightwatchjs Nightwatch Results And Reporting
- Principle:Fede1024 Rust rdkafka Manual Offset Management
- Principle:Pytorch Serve Automated Benchmarking
- Principle:Lucidrains X transformers Direct Preference Optimization
Implementations
- Implementation:Ucbepic Docetl ClusterOperation Execute
- Implementation:Huggingface Datasets Dataset From Generator
- Implementation:Microsoft Semantic kernel ProcessBuilder
- Implementation:Google deepmind Mujoco Engine Sleep
- Implementation:Neuml Txtai Embeddings Save Load
- Implementation:Promptfoo Promptfoo Constants
- Implementation:Treeverse LakeFS Java SDK Model GarbageCollectionPrepareResponse
- Implementation:Google deepmind Dm control Viewer User Input
- Implementation:Googleapis Python genai Models Generate Content
- Implementation:Neuml Txtai LiteLLM Pipeline
Heuristics
- Heuristic:Huggingface Datatrove VLLM Startup Optimization
- Heuristic:Mage ai Mage ai Batch Size Tuning
- Heuristic:Dotnet Machinelearning AutoML SMAC Dimension Limit
- Heuristic:Testtimescaling Testtimescaling github io Dual JSON Sync
- Heuristic:Ggml org Llama cpp Thread Count Tuning
- Heuristic:Avdvg InjectGuard Embedding Normalization Cosine Equivalence
- Heuristic:Romsto Speculative Decoding Shared Tokenizer Requirement
- Heuristic:Intel Ipex llm QLoRA Training Hyperparameters
- Heuristic:Google deepmind Dm control Tolerance Reward Tuning
- Heuristic:Openai Openai python Warning Deprecated Legacy Response
Environments
- Environment:Run llama Llama index Sentence Transformers Finetuning
- Environment:PacktPublishing LLM Engineers Handbook Docker MongoDB Qdrant Infrastructure
- Environment:Volcengine Verl Megatron Core Environment
- Environment:Norrrrrrr lyn WAInjectBench OpenAI API Credentials
- Environment:Mlfoundations Open flamingo PyTorch CUDA Distributed
- Environment:AnswerDotAI RAGatouille GPU CUDA Runtime
- Environment:Guardrails ai Guardrails OpenTelemetry Tracing
- Environment:Fastai Fastbook Python FastAI Environment
- Environment:Dotnet Machinelearning OneDal Acceleration
- Environment:SeldonIO Seldon core Kubernetes Cluster Environment